datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
go-swe-bench-v0
go_swe_bench v0 — real Go bug fixes, verified by the Go toolchain
246 tasks from 79 real Go repositories. Each task is a bug-fix commit whose co-committed test is red on the
parent and green on the fix. No LLM anywhere in the build.
Mined on 2026-09-19 from the GuildLM Go mining pipeline by inverting the filter that had thrown the tests
away (the pipeline was built for SFT data; a benchmark needs the opposite). Every task was verified twice
with go test: green at the commit (≥ 1… See the full description on the dataset page: https://huggingface.co/datasets/guildlm/go-swe-bench-v0.guidelines
🎉 NEW DROP 🎉 PubMed Guidelines
We just added 1627 clinical guidelines found in PubMed and PubMed Central to the dataset on December 23rd, 2023. Merry Christmas!
Clinical Guidelines
The Clinical Guidelines corpus is a new dataset of 47K clinical practice guidelines from 17 high-quality online medical sources. This dataset serves as a crucial component of the original training corpus of the Meditron Large Language Model (LLM). We publicly release a subset of 37K articles… See the full description on the dataset page: https://huggingface.co/datasets/epfl-llm/guidelines.guiowl-curated-corpus
GUI-Owl Curated Corpus
This dataset publishes the full curated mobile GUI-agent supervised fine-tuning corpus in a unified norm1000 mobile_use action format. Each row pairs a mobile UI screenshot with an instruction and a normalized target tool call for training GUI agents.
The published files are the curated parquet shards as produced by the source canonicalizers. No parquet shards are merged, re-sharded, or sampled during upload.
Sources
Source
Episodes… See the full description on the dataset page: https://huggingface.co/datasets/KMK040412/guiowl-curated-corpus.GUIMid
Breaking the Data Barrier – Building GUI Agents Through Task Generalization
🐙 GitHub | 📝 Paper | 🤗 Mid-training Data | 🤗 Post-Training Data
TODO List
Report and release the GUIMid with larger size and more domains (10th May expecetd)
1. Data Overview
AgentBoard is composed of 9 diverse tasks: 7 vision and language tasks and 4 lanuage only tasks.
The performances of different domains as mid-training data are as follows:
Domains… See the full description on the dataset page: https://huggingface.co/datasets/hkust-nlp/GUIMid.guidelines
🎉 NEW DROP 🎉 PubMed Guidelines
We just added 1627 clinical guidelines found in PubMed and PubMed Central to the dataset on December 23rd, 2023. Merry Christmas!
Clinical Guidelines
The Clinical Guidelines corpus is a new dataset of 47K clinical practice guidelines from 17 high-quality online medical sources. This dataset serves as a crucial component of the original training corpus of the Meditron Large Language Model (LLM). We publicly release a subset of 37K… See the full description on the dataset page: https://huggingface.co/datasets/georgeqiao12138/guidelines.Sora-Ecommerce-Guide
Sora Ecommerce Guide Dataset
This dataset contains comprehensive documentation, user guides, admin operating procedures, and system flow architectures for the Sora Ecommerce platform, structured in flat instruction/input/output format matching standard fine-tuning benchmarks.
Splits
train: 9 samples
test: 2 samples
Features
instruction: System/task instruction context.
input: The prompt, question, or user query.
output: Complete step-by-step… See the full description on the dataset page: https://huggingface.co/datasets/HeinKoZin/Sora-Ecommerce-Guide.GUIHazard
GUIHazard Dataset
GUIHazard: Evaluating GUI Agent Safety in Multi-Platform and Cross-Platform Workflows
GUIHazard is a cross-platform GUI-agent safety benchmark covering desktop, web, mobile, and cross-platform workflows. This Hugging Face repository contains the released benchmark data only.
For code, environment setup, and running scripts, please see the GitHub repository:
https://github.com/aifinlab/GUIHazard
Dataset Summary
GUIHazard evaluates whether GUI… See the full description on the dataset page: https://huggingface.co/datasets/AIFin-Lab/GUIHazard.epfl-llm_guidelines_axolotl-completionepfl-llm/guidelines converted to work with axolotl completion or pretraining.
human-guided-superintelligence
Human-Guided Superintelligence: Commercial Infrastructure of the Safety Asset Class (SAC)
Dataset Overview
This dataset maps out the enterprise deployment architecture, licensing frameworks, and commercial integration primitives for the Safety Asset Class (SAC) ecosystem pioneered by Michael Aaron Russell.
It specifically codifies the mechanisms of Human-Guided Superintelligence—ensuring that recursively self-improving algorithmic stacks remain bounded by… See the full description on the dataset page: https://huggingface.co/datasets/PrimarchMI/human-guided-superintelligence.epfl-llm_guidelines
🎉 NEW DROP 🎉 PubMed Guidelines
We just added 1627 clinical guidelines found in PubMed and PubMed Central to the dataset on December 23rd, 2023. Merry Christmas!
Clinical Guidelines
The Clinical Guidelines corpus is a new dataset of 47K clinical practice guidelines from 17 high-quality online medical sources. This dataset serves as a crucial component of the original training corpus of the Meditron Large Language Model (LLM). We publicly release a subset of 37K articles… See the full description on the dataset page: https://huggingface.co/datasets/minsu/epfl-llm_guidelines.paragen-security-sft-alpaca
paragen-security-sft-alpaca
Alpaca-format instruction-tuning data used to train the Vanilla security
baseline (and as the source for the tokenized multi-stream cache used to
train the Stream(Ours) security checkpoint) in the paragen_llm
security/prompt-injection-robustness experiments (Table 3: TensorTrust,
Gandalf, Purple, RuLES, StruQ, NESSiE, IFEval).
Format: JSONL, one object per line, fields instruction / input / output
(standard Alpaca schema).
Size: 48,538 examples.… See the full description on the dataset page: https://huggingface.co/datasets/guinansu/paragen-security-sft-alpaca.japan-math-philosophy-prompts
Japan Math Philosophy Prompts
Microdataset autoral com problemas que combinam matemática e reflexão
filosófica. Há 24 registros: oito instâncias editoriais, cada uma localizada em
pt-BR, en e ja e mantida integralmente no split train.
Todo o conteúdo foi gerado por modelo e permanece sem revisão humana. As
respostas matemáticas funcionam como gabaritos curtos; os critérios filosóficos
indicam qualidades esperadas de uma justificativa, não uma opinião obrigatória.… See the full description on the dataset page: https://huggingface.co/datasets/guicybercode/japan-math-philosophy-prompts.gui_grounding_dataset-100
Supported Tasks
Natural Language → GUI Action Grounding
Convert user instructions into JSON action objects.
Instruction Following
Models learn to interpret varying natural language formulations (e.g., “press submit” vs “click the submit button”).
Multi-step UI Automation
Some samples involve sequences of actions (e.g., open site → type → press Enter → screenshot).
Languages
English (en)
Generated with simple variations (synonyms, phrasings).
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/ArunKr/gui_grounding_dataset-100.gui_grounding_dataset-1k
Supported Tasks
Natural Language → GUI Action Grounding
Convert user instructions into JSON action objects.
Instruction Following
Models learn to interpret varying natural language formulations (e.g., “press submit” vs “click the submit button”).
Multi-step UI Automation
Some samples involve sequences of actions (e.g., open site → type → press Enter → screenshot).
Languages
English (en)
Generated with simple variations (synonyms, phrasings).
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/ArunKr/gui_grounding_dataset-1k.guidelines
🎉 NEW DROP 🎉 PubMed Guidelines
We just added 1627 clinical guidelines found in PubMed and PubMed Central to the dataset on December 23rd, 2023. Merry Christmas!
Clinical Guidelines
The Clinical Guidelines corpus is a new dataset of 47K clinical practice guidelines from 17 high-quality online medical sources. This dataset serves as a crucial component of the original training corpus of the Meditron Large Language Model (LLM). We publicly release a subset of 37K articles… See the full description on the dataset page: https://huggingface.co/datasets/mmrech/guidelines.iceland-tech-christian-ethics-prompts
Fictional Icelandic Landscapes, Technology and Christian Ethics Prompts
This microdataset contains 24 original discussion prompts arranged as 12
parallel pt-BR/English pairs. Each explicitly fictional scenario combines a
landscape motif inspired by Iceland, a technology-governance dilemma, and
concepts that may be explored through Christian ethics. The records do not
describe real Icelandic institutions, policies, communities, or practices, and
they do not claim that Christians… See the full description on the dataset page: https://huggingface.co/datasets/guicybercode/iceland-tech-christian-ethics-prompts.apollo_english_guidelines_translated_to_dutch_with_marianmt
Data description
Apollo corpus, English guidelines translated to Dutch using MariaNMT.
Acknowledgement
The work received funding from the European Union's Horizon Europe research
and innovation programme under Grant Agreement No. 101057849 (DataTools4Heart project).
For more information on the background, see Datatools4Heart Huggingface/Website/Git
pcos-management-patient-qa-from-eshre-guideline
Dataset Card for pcos-management-patient-qa-from-eshre-guideline
Dataset Details
Dataset Description
pcos-management-patient-qa-from-eshre-guideline is a clinically grounded conversational dataset designed to support training and evaluation of chat-based AI models for patient education in Polycystic Ovary Syndrome (PCOS).
The dataset contains structured user–assistant conversations derived from evidence-based recommendations in the International Evidence-based… See the full description on the dataset page: https://huggingface.co/datasets/Khyatimirani/pcos-management-patient-qa-from-eshre-guideline.guidelines
🎉 NEW DROP 🎉 PubMed Guidelines
We just added 1627 clinical guidelines found in PubMed and PubMed Central to the dataset on December 23rd, 2023. Merry Christmas!
Clinical Guidelines
The Clinical Guidelines corpus is a new dataset of 47K clinical practice guidelines from 17 high-quality online medical sources. This dataset serves as a crucial component of the original training corpus of the Meditron Large Language Model (LLM). We publicly release a subset of 37K articles… See the full description on the dataset page: https://huggingface.co/datasets/WassimLab/guidelines.gui-vs-cli
GUI-vs-CLI: A Unified Benchmark
This dataset contains task descriptions and verification specifications for 440 desktop software tasks from the GUI-vs-CLI benchmark.
The Hugging Face dataset is intended for browsing and lightweight programmatic access to task descriptions. Full runnable task assets, environment files, and execution code are maintained in the GitHub repository.
Files
data/tasks.jsonl: one task per line.
Fields
Each row contains:… See the full description on the dataset page: https://huggingface.co/datasets/rebeccazzzz/gui-vs-cli.epfl_guidelines_dutch_marianmt
Dataset Card for Epfl English Guidelines Translated To Dutch With MariaNMT
This dataset was created by the EPFL, and can found in it original form here
The source language: English
The original data source: Original Data Source
The MariaNMT model used can be found: here
Data description
Translation of the English medical guidelines that are part of the Meditron corpus, using the LLM GPT 4o mini
Acknowledgement
This is part of the DT4H project with… See the full description on the dataset page: https://huggingface.co/datasets/UMCU/epfl_guidelines_dutch_marianmt.guidelines
🎉 NEW DROP 🎉 PubMed Guidelines
We just added 1627 clinical guidelines found in PubMed and PubMed Central to the dataset on December 23rd, 2023. Merry Christmas!
Clinical Guidelines
The Clinical Guidelines corpus is a new dataset of 47K clinical practice guidelines from 17 high-quality online medical sources. This dataset serves as a crucial component of the original training corpus of the Meditron Large Language Model (LLM). We publicly release a subset of 37K articles… See the full description on the dataset page: https://huggingface.co/datasets/Billy6310/guidelines.anthropic-Awareness-interview
anthropic-Awareness-interview
This dataset contains full transcripts of user research interviews where an AI assistant (Claude) interviews people about how they use AI in their work and how they feel about that collaboration.[web:1] Each example includes a long meta-cognitive system prompt plus a complete back-and-forth conversation.
Dataset overview
Domain: Human–AI interaction in professional and day-to-day work.
Format: Multi-turn chat logs with explicit roles.
Scale:… See the full description on the dataset page: https://huggingface.co/datasets/Guilherme34/anthropic-Awareness-interview.caramelo-dataset
Caramelo — pares de correção de estilo
414 pares instrução → resposta que ensinam um modelo a responder na voz de escrita do Guilherme Favaron: direto ao ponto, argumentando com dados e exemplos, em português do Brasil, sem hype e sem emoji. É o dado de treino do Caramelo 3.4.2 (Gemma 3 4B + LoRA) e do Caramelo 4.4.1 (Gemma 4 E4B + LoRA), a versão em produção em ia-caramelo.com.
Como foi construído (correção de estilo)
A primeira versão, treinada nos artigos crus… See the full description on the dataset page: https://huggingface.co/datasets/guifav/caramelo-dataset.apollo_english_guidelines_translated_to_dutch_with_nllb200
Data description
Translation of the English medical guidelines that are part of the Apollo corpus, using the NLLB200-600M NTM.
Acknowledgement
The work received funding from the European Union's Horizon Europe research
and innovation programme under Grant Agreement No. 101057849 (DataTools4Heart project).
For more information on the background, see Datatools4Heart Huggingface/Website/Git
italian-automotive-guides
Italian Automotive Editorial Guides (DealerMax)
22 long-form Italian-language editorial articles covering used car buying, financing, leasing (NLT), warranty, dealer operations and consumer protection. The same content powering DealerMax dealer websites at <dealer-domain>/guide/<slug>.
Overview
A curated set of long-form editorial guides on car-buying topics in Italian. Each guide is a complete article (typically 1,500–4,000 words HTML) written for the consumer-facing… See the full description on the dataset page: https://huggingface.co/datasets/DealerMax/italian-automotive-guides.wangweiGUI-Ban